Augmented reality environment enhancement

ABSTRACT

Augmented reality (AR) and virtual reality (VR) environment enhancement using an eyewear device. The eyewear device includes an image capture system, a display system, and a position detection system. The image capture system and position detection system identify feature points within a point cloud that represents captured images of an environment. The display system presents image overlays to a user including enhancement graphics positioned at the feature points within the environment.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a Continuation of U.S. application Ser. No.16/900,897 filed on Jun. 13, 2020, the contents of which areincorporated herein by reference.

TECHNICAL FIELD

Examples set forth in the present disclosure relate to the field ofaugmented reality (AR) and wearable mobile devices such as eyeweardevices. More particularly, but not by way of limitation, the presentdisclosure describes augmented reality environment enhancement using aneyewear device worn by a user in an environment.

BACKGROUND

Many types of computers and electronic devices available today, such asmobile devices (e.g., smartphones, tablets, and laptops), handhelddevices, and wearable devices (e.g., smart glasses, digital eyewear,headwear, headgear, and head-mounted displays), include a variety ofcameras, sensors, wireless transceivers, input systems (e.g.,touch-sensitive surfaces, pointers), peripheral devices, displays, andgraphical user interfaces (GUIs) through which a user can interact withdisplayed content.

Augmented reality (AR) combines real objects in a physical environmentwith virtual objects and displays the combination to a user. Thecombined display gives the impression that the virtual objects areauthentically present in the environment, especially when the virtualobjects appear and behave like the real objects.

Advanced AR technologies, such as computer vision and object tracking,may be used to generate a perceptually enriched and immersiveexperience. Computer vision algorithms extract three-dimensional dataabout the physical world from the data captured in digital images orvideo. Object tracking algorithms may be used to detect an object in adigital image or video and track its movement.

BRIEF DESCRIPTION OF THE DRAWINGS

Features of the various examples described will be readily understoodfrom the following detailed description, in which reference is made tothe figures. A reference numeral is used with each element in thedescription and throughout the several views of the drawing. When aplurality of similar elements is present, a single reference numeral maybe assigned to like elements, with an added lower-case letter referringto a specific element.

The various elements shown in the figures are not drawn to scale unlessotherwise indicated. The dimensions of the various elements may beenlarged or reduced in the interest of clarity. The several figuresdepict one or more implementations and are presented by way of exampleonly and should not be construed as limiting. Included in the drawingare the following figures:

FIG. 1A is a side view (right) of an example hardware configuration ofan eyewear device suitable for use in an augmented reality productionsystem;

FIG. 1B is a perspective, partly sectional view of a right corner of theeyewear device of FIG. 1A depicting a right visible-light camera, and acircuit board;

FIG. 1C is a side view (left) of an example hardware configuration ofthe eyewear device of FIG. 1A, which shows a left visible-light camera;

FIG. 1D is a perspective, partly sectional view of a left corner of theeyewear device of FIG. 1C depicting the left visible-light camera, and acircuit board;

FIGS. 2A and 2B are rear views of example hardware configurations of aneyewear device utilized in the augmented reality production system;

FIG. 3 is a diagrammatic depiction of a three-dimensional scene, a leftraw image captured by a left visible-light camera, and a right raw imagecaptured by a right visible-light camera;

FIG. 4 is a functional block diagram of an example augmented realityproduction system including a wearable device (e.g., an eyewear device)and a server system connected via various networks;

FIG. 5 is a diagrammatic representation of an example hardwareconfiguration for a mobile device of the augmented reality productionsystem of FIG. 4 ;

FIG. 6 is a schematic illustration of a user in an example environmentfor use in describing simultaneous localization and mapping;

FIG. 7 is a flow chart listing steps in an example method of displayingvirtual objects in a physical environment;

FIGS. 8A, 8B, 8C, 8D, 8E, and 8F are flow charts including example stepsfor virtual environment enhancement; and

FIGS. 9A, 9B, 9C, 9D, 9E, and 9F are perspective illustrations ofvirtual environment enhancement.

DETAILED DESCRIPTION

Various implementations and details are described with reference toexamples including a system for providing virtual environmentenhancement with an eyewear device including an image capture system, aposition detection system, and a display system. The eyewear deviceaugments an environment by exposing feature points (i.e., locationtracking points) and showing graphics (e.g., flowers) to a user that arepositioned at those points. Since the graphics are tied to locationtracking points in the environment, they are tied to the real world (asopposed to floating in space).

The following detailed description includes systems, methods,techniques, instruction sequences, and computing machine programproducts illustrative of examples set forth in the disclosure. Numerousdetails and examples are included for the purpose of providing athorough understanding of the disclosed subject matter and its relevantteachings. Those skilled in the relevant art, however, may understandhow to apply the relevant teachings without such details. Aspects of thedisclosed subject matter are not limited to the specific devices,systems, and method described because the relevant teachings can beapplied or practice in a variety of ways. The terminology andnomenclature used herein is for the purpose of describing particularaspects only and is not intended to be limiting. In general, well-knowninstruction instances, protocols, structures, and techniques are notnecessarily shown in detail.

The terms “coupled” or “connected” as used herein refer to any logical,optical, physical, or electrical connection, including a link or thelike by which the electrical or magnetic signals produced or supplied byone system element are imparted to another coupled or connected systemelement. Unless described otherwise, coupled or connected elements ordevices are not necessarily directly connected to one another and may beseparated by intermediate components, elements, or communication media,one or more of which may modify, manipulate, or carry the electricalsignals. The term “on” means directly supported by an element orindirectly supported by the element through another element that isintegrated into or supported by the element.

The term “proximal” is used to describe an item or part of an item thatis situated near, adjacent, or next to an object or person; or that iscloser relative to other parts of the item, which may be described as“distal.” For example, the end of an item nearest an object may bereferred to as the proximal end, whereas the generally opposing end maybe referred to as the distal end.

The orientations of the eyewear device, other mobile devices, associatedcomponents and any other devices incorporating a camera, an inertialmeasurement unit, or both such as shown in any of the drawings, aregiven by way of example only, for illustration and discussion purposes.In operation, the eyewear device may be oriented in any other directionsuitable to the particular application of the eyewear device; forexample, up, down, sideways, or any other orientation. Also, to theextent used herein, any directional term, such as front, rear, inward,outward, toward, left, right, lateral, longitudinal, up, down, upper,lower, top, bottom, side, horizontal, vertical, and diagonal are used byway of example only, and are not limiting as to the direction ororientation of any camera or inertial measurement unit as constructed oras otherwise described herein.

Additional objects, advantages and novel features of the examples willbe set forth in part in the following description, and in part willbecome apparent to those skilled in the art upon examination of thefollowing and the accompanying drawings or may be learned by productionor operation of the examples. The objects and advantages of the presentsubject matter may be realized and attained by means of themethodologies, instrumentalities and combinations particularly pointedout in the appended claims.

Reference now is made in detail to the examples illustrated in theaccompanying drawings and discussed below.

FIG. 1A is a side view (right) of an example hardware configuration ofan eyewear device 100 which includes a touch-sensitive input device ortouchpad 181. As shown, the touchpad 181 may have a boundary that issubtle and not easily seen; alternatively, the boundary may be plainlyvisible or include a raised or otherwise tactile edge that providesfeedback to the user about the location and boundary of the touchpad181. In other implementations, the eyewear device 100 may include atouchpad on the left side.

The surface of the touchpad 181 is configured to detect finger touches,taps, and gestures (e.g., moving touches) for use with a GUI displayedby the eyewear device, on an image display, to allow the user tonavigate through and select menu options in an intuitive manner, whichenhances and simplifies the user experience.

Detection of finger inputs on the touchpad 181 can enable severalfunctions. For example, touching anywhere on the touchpad 181 may causethe GUI to display or highlight an item on the image display, which maybe projected onto at least one of the optical assemblies 180A, 180B.Double tapping on the touchpad 181 may select an item or icon. Slidingor swiping a finger in a particular direction (e.g., from front to back,back to front, up to down, or down to) may cause the items or icons toslide or scroll in a particular direction; for example, to move to anext item, icon, video, image, page, or slide. Sliding the finger inanother direction may slide or scroll in the opposite direction; forexample, to move to a previous item, icon, video, image, page, or slide.The touchpad 181 can be virtually anywhere on the eyewear device 100.

In one example, an identified finger gesture of a single tap on thetouchpad 181, initiates selection or pressing of a graphical userinterface element in the image presented on the image display of theoptical assembly 180A, 180B. An adjustment to the image presented on theimage display of the optical assembly 180A, 180B based on the identifiedfinger gesture can be a primary action which selects or submits thegraphical user interface element on the image display of the opticalassembly 180A, 180B for further display or execution.

As shown, the eyewear device 100 includes a right visible-light camera114B. As further described herein, two cameras 114A, 114B capture imageinformation for a scene from two separate viewpoints. The two capturedimages may be used to project a three-dimensional display onto an imagedisplay for viewing with 3D glasses.

The eyewear device 100 includes a right optical assembly 180B with animage display to present images, such as depth images. As shown in FIGS.1A and 1B, the eyewear device 100 includes the right visible-lightcamera 114B. The eyewear device 100 can include multiple visible-lightcameras 114A, 114B that form a passive type of three-dimensional camera,such as stereo camera, of which the right visible-light camera 114B islocated on a right corner 110B. As shown in FIGS. 1C-D, the eyeweardevice 100 also includes a left visible-light camera 114A.

Left and right visible-light cameras 114A, 114B are sensitive to thevisible-light range wavelength. Each of the visible-light cameras 114A,114B have a different frontward facing field of view which areoverlapping to enable generation of three-dimensional depth images, forexample, right visible-light camera 114B depicts a right field of view111B. Generally, a “field of view” is the part of the scene that isvisible through the camera at a particular position and orientation inspace. The fields of view 111A and 111B have an overlapping field ofview 304 (FIG. 3 ). Objects or object features outside the field of view111A, 111B when the visible-light camera captures the image are notrecorded in a raw image (e.g., photograph or picture). The field of viewdescribes an angle range or extent, which the image sensor of thevisible-light camera 114A, 114B picks up electromagnetic radiation of agiven scene in a captured image of the given scene. Field of view can beexpressed as the angular size of the view cone; i.e., an angle of view.The angle of view can be measured horizontally, vertically, ordiagonally.

In an example, visible-light cameras 114A, 114B have a field of viewwith an angle of view between 30° to 110°, for example 108°, and have aresolution of 480×480 pixels or greater. The “angle of coverage”describes the angle range that a lens of visible-light cameras 114A,114B or infrared camera 410 (see FIG. 4 ) can effectively image.Typically, the camera lens produces an image circle that is large enoughto cover the film or sensor of the camera completely, possibly includingsome vignetting (e.g., a darkening of the image toward the edges whencompared to the center). If the angle of coverage of the camera lensdoes not fill the sensor, the image circle will be visible, typicallywith strong vignetting toward the edge, and the effective angle of viewwill be limited to the angle of coverage.

Examples of such visible-light cameras 114A, 114B include ahigh-resolution complementary metal-oxide-semiconductor (CMOS) imagesensor and a digital VGA camera (video graphics array) capable ofresolutions of 640p (e.g., 640×480 pixels for a total of 0.3megapixels), 720p, or 1080p. Other examples of visible-light cameras114A, 114B that can capture high-definition (HD) still images and storethem at a resolution of 1642 by 1642 pixels (or greater); or recordhigh-definition video at a high frame rate (e.g., thirty to sixty framesper second or more) and store the recording at a resolution of 1216 by1216 pixels (or greater).

The eyewear device 100 may capture image sensor data from thevisible-light cameras 114A, 114B along with geolocation data, digitizedby an image processor, for storage in a memory. The visible-lightcameras 114A, 114B capture respective left and right raw images in thetwo-dimensional space domain that comprise a matrix of pixels on atwo-dimensional coordinate system that includes an X-axis for horizontalposition and a Y-axis for vertical position. Each pixel includes a colorattribute value (e.g., a red pixel light value, a green pixel lightvalue, or a blue pixel light value); and a position attribute (e.g., anX-axis coordinate and a Y-axis coordinate).

In order to capture stereo images for later display as athree-dimensional projection, the image processor 412 (shown in FIG. 4 )may be coupled to the visible-light cameras 114A, 114B to receive andstore the visual image information. The image processor 412, or anotherprocessor, controls operation of the visible-light cameras 114A, 114B toact as a stereo camera simulating human binocular vision and may add atimestamp to each image. The timestamp on each pair of images allowsdisplay of the images together as part of a three-dimensionalprojection. Three-dimensional projections produce an immersive,life-like experience that is desirable in a variety of contexts,including virtual reality (VR) and video gaming.

FIG. 1B is a perspective, cross-sectional view of a right corner 110B ofthe eyewear device 100 of FIG. 1A depicting the right visible-lightcamera 114B of the camera system, and a circuit board 140B. FIG. 1C is aside view (left) of an example hardware configuration of an eyeweardevice 100 of FIG. 1A, which shows a left visible-light camera 114A ofthe camera system. FIG. 1D is a perspective, cross-sectional view of aleft corner 110A of the eyewear device of FIG. 1C depicting the leftvisible-light camera 114A of the three-dimensional camera, and a circuitboard 140A.

Construction and placement of the left visible-light camera 114A issubstantially similar to the right visible-light camera 114B, except theconnections and coupling are on the left lateral side 170A. As shown inthe example of FIG. 1B, the eyewear device 100 includes the rightvisible-light camera 114B and a circuit board 140B, which may be aflexible printed circuit board (PCB). The right hinge 126B connects theright corner 110B to a right temple 125B of the eyewear device 100.Similarly, the left hinge 126A connects the left corner 110A to the lefttemple 125A of the eyewear device 100. In some examples, components ofthe right visible-light camera 114B, the flexible PCB 140B, or otherelectrical connectors or contacts may be located on the right temple125B or the right hinge 126B.

The right corner 110B includes corner body 190 and a corner cap, withthe corner cap omitted in the cross-section of FIG. 1B. Disposed insidethe right corner 110B are various interconnected circuit boards, such asPCBs or flexible PCBs, that include controller circuits for rightvisible-light camera 114B, microphone(s), low-power wireless circuitry(e.g., for wireless short range network communication via Bluetooth™),high-speed wireless circuitry (e.g., for wireless local area networkcommunication via Wi-Fi).

The right visible-light camera 114B is coupled to or disposed on theflexible PCB 140B and covered by a visible-light camera cover lens,which is aimed through opening(s) formed in the frame 105. For example,the right rim 107B of the frame 105, shown in FIG. 2A, is connected tothe right corner 110B and includes the opening(s) for the visible-lightcamera cover lens. The frame 105 includes a front side configured toface outward and away from the eye of the user. The opening for thevisible-light camera cover lens is formed on and through the front oroutward-facing side of the frame 105. In the example, the rightvisible-light camera 114B has an outward-facing field of view 111B(shown in FIG. 3 ) with a line of sight or perspective that iscorrelated with the right eye of the user of the eyewear device 100. Thevisible-light camera cover lens can also be adhered to a front side oroutward-facing surface of the right corner 110B in which an opening isformed with an outward-facing angle of coverage, but in a differentoutwardly direction. The coupling can also be indirect via interveningcomponents.

As shown in FIG. 1B, flexible PCB 140B is disposed inside the rightcorner 110B and is coupled to one or more other components housed in theright corner 110B. Although shown as being formed on the circuit boardsof the right corner 110B, the right visible-light camera 114B can beformed on the circuit boards of the left corner 110A, the temples 125A,125B, or the frame 105.

FIGS. 2A and 2B are perspective views, from the rear, of examplehardware configurations of the eyewear device 100, including twodifferent types of image displays. The eyewear device 100 is sized andshaped in a form configured for wearing by a user; the form ofeyeglasses is shown in the example. The eyewear device 100 can takeother forms and may incorporate other types of frameworks; for example,a headgear, a headset, or a helmet.

In the eyeglasses example, eyewear device 100 includes a frame 105including a left rim 107A connected to a right rim 107B via a bridge 106adapted to be supported by a nose of the user. The left and right rims107A, 107B include respective apertures 175A, 175B, which hold arespective optical element 180A, 180B, such as a lens and a displaydevice. As used herein, the term “lens” is meant to include transparentor translucent pieces of glass or plastic having curved or flat surfacesthat cause light to converge/diverge or that cause little or noconvergence or divergence.

Although shown as having two optical elements 180A, 180B, the eyeweardevice 100 can include other arrangements, such as a single opticalelement (or it may not include any optical element 180A, 180B),depending on the application or the intended user of the eyewear device100. As further shown, eyewear device 100 includes a left corner 110Aadjacent the left lateral side 170A of the frame 105 and a right corner110B adjacent the right lateral side 170B of the frame 105. The corners110A, 110B may be integrated into the frame 105 on the respective sides170A, 170B (as illustrated) or implemented as separate componentsattached to the frame 105 on the respective sides 170A, 170B.Alternatively, the corners 110A, 110B may be integrated into temples(not shown) attached to the frame 105.

In one example, the image display of optical assembly 180A, 180Bincludes an integrated image display. As shown in FIG. 2A, each opticalassembly 180A, 180B includes a suitable display matrix 177, such as aliquid crystal display (LCD), an organic light-emitting diode (OLED)display, or any other such display. Each optical assembly 180A, 180Balso includes an optical layer or layers 176, which can include lenses,optical coatings, prisms, mirrors, waveguides, optical strips, and otheroptical components in any combination. The optical layers 176A, 176B, .. . 176N (shown as 176A-N in FIG. 2A and herein) can include a prismhaving a suitable size and configuration and including a first surfacefor receiving light from a display matrix and a second surface foremitting light to the eye of the user. The prism of the optical layers176A-N extends over all or at least a portion of the respectiveapertures 175A, 175B formed in the left and right rims 107A, 107B topermit the user to see the second surface of the prism when the eye ofthe user is viewing through the corresponding left and right rims 107A,107B. The first surface of the prism of the optical layers 176A-N facesupwardly from the frame 105 and the display matrix 177 overlies theprism so that photons and light emitted by the display matrix 177impinge the first surface. The prism is sized and shaped so that thelight is refracted within the prism and is directed toward the eye ofthe user by the second surface of the prism of the optical layers176A-N. In this regard, the second surface of the prism of the opticallayers 176A-N can be convex to direct the light toward the center of theeye. The prism can optionally be sized and shaped to magnify the imageprojected by the display matrix 177, and the light travels through theprism so that the image viewed from the second surface is larger in oneor more dimensions than the image emitted from the display matrix 177.

In one example, the optical layers 176A-N may include an LCD layer thatis transparent (keeping the lens open) unless and until a voltage isapplied which makes the layer opaque (closing or blocking the lens). Theimage processor 412 on the eyewear device 100 may execute programming toapply the voltage to the LCD layer in order to produce an active shuttersystem, making the eyewear device 100 suitable for viewing visualcontent when displayed as a three-dimensional projection. Technologiesother than LCD may be used for the active shutter mode, including othertypes of reactive layers that are responsive to a voltage or anothertype of input.

In another example, the image display device of optical assembly 180A,180B includes a projection image display as shown in FIG. 2B. Eachoptical assembly 180A, 180B includes a laser projector 150, which is athree-color laser projector using a scanning mirror or galvanometer.During operation, an optical source such as a laser projector 150 isdisposed in or on one of the temples 125A, 125B of the eyewear device100. Optical assembly 180B in this example includes one or more opticalstrips 155A, 155B, . . . 155N (shown as 155A-N in FIG. 2B) which arespaced apart and across the width of the lens of each optical assembly180A, 180B or across a depth of the lens between the front surface andthe rear surface of the lens.

As the photons projected by the laser projector 150 travel across thelens of each optical assembly 180A, 180B, the photons encounter theoptical strips 155A-N. When a particular photon encounters a particularoptical strip, the photon is either redirected toward the user's eye, orit passes to the next optical strip. A combination of modulation oflaser projector 150, and modulation of optical strips, may controlspecific photons or beams of light. In an example, a processor controlsoptical strips 155A-N by initiating mechanical, acoustic, orelectromagnetic signals. Although shown as having two optical assemblies180A, 180B, the eyewear device 100 can include other arrangements, suchas a single or three optical assemblies, or each optical assembly 180A,180B may have arranged different arrangement depending on theapplication or intended user of the eyewear device 100.

As further shown in FIGS. 2A and 2B, eyewear device 100 includes a leftcorner 110A adjacent the left lateral side 170A of the frame 105 and aright corner 110B adjacent the right lateral side 170B of the frame 105.The corners 110A, 110B may be integrated into the frame 105 on therespective lateral sides 170A, 170B (as illustrated) or implemented asseparate components attached to the frame 105 on the respective sides170A, 170B. Alternatively, the corners 110A, 110B may be integrated intotemples 125A, 125B attached to the frame 105.

In another example, the eyewear device 100 shown in FIG. 2B may includetwo projectors, a left projector (not shown) and a right projector 150.The left optical assembly 180A may include a left display matrix 177 ora left set of optical strips (not shown) which are configured tointeract with light from the left projector. Similarly, the rightoptical assembly 180B may include a right display matrix (not shown) ora right set of optical strips 155A, 155B, . . . 155N which areconfigured to interact with light from the right projector 150. In thisexample, the eyewear device 100 includes a left display and a rightdisplay.

FIG. 3 is a diagrammatic depiction of a three-dimensional scene 306, aleft raw image 302A captured by a left visible-light camera 114A, and aright raw image 302B captured by a right visible-light camera 114B. Theleft field of view 111A may overlap, as shown, with the right field ofview 111B. The overlapping field of view 304 represents that portion ofthe image captured by both cameras 114A, 114B. The term ‘overlapping’when referring to field of view means the matrix of pixels in thegenerated raw images overlap by thirty percent (30%) or more.‘Substantially overlapping’ means the matrix of pixels in the generatedraw images—or in the infrared image of scene—overlap by fifty percent(50%) or more. As described herein, the two raw images 302A, 302B may beprocessed to include a timestamp, which allows the images to bedisplayed together as part of a three-dimensional projection.

For the capture of stereo images, as illustrated in FIG. 3 , a pair ofraw red, green, and blue (RGB) images are captured of a real scene 306at a given moment in time—a left raw image 302A captured by the leftcamera 114A and right raw image 302B captured by the right camera 114B.When the pair of raw images 302A, 302B are processed (e.g., by the imageprocessor 412), depth images are generated. The generated depth imagesmay be viewed on an optical assembly 180A, 180B of an eyewear device, onanother display (e.g., the image display 580 on a mobile device 401), oron a screen.

The generated depth images are in the three-dimensional space domain andcan comprise a matrix of vertices on a three-dimensional locationcoordinate system that includes an X axis for horizontal position (e.g.,length), a Y axis for vertical position (e.g., height), and a Z axis fordepth (e.g., distance). Each vertex may include a color attribute (e.g.,a red pixel light value, a green pixel light value, or a blue pixellight value); a position attribute (e.g., an X location coordinate, a Ylocation coordinate, and a Z location coordinate); a texture attribute;a reflectance attribute; or a combination thereof. The texture attributequantifies the perceived texture of the depth image, such as the spatialarrangement of color or intensities in a region of vertices of the depthimage.

In one example, the interactive augmented reality system 400 (FIG. 4 )includes the eyewear device 100, which includes a frame 105 and a lefttemple 125A extending from a left lateral side 170A of the frame 105 anda right temple 125B extending from a right lateral side 170B of theframe 105. The eyewear device 100 may further include at least twovisible-light cameras 114A, 114B having overlapping fields of view. Inone example, the eyewear device 100 includes a left visible-light camera114A with a left field of view 111A, as illustrated in FIG. 3 . The leftcamera 114A is connected to the frame 105 or the left temple 110A tocapture a left raw image 302A from the left side of scene 306. Theeyewear device 100 further includes a right visible-light camera 114Bwith a right field of view 111B. The right camera 114B is connected tothe frame 105 or the right temple 125B to capture a right raw image 302Bfrom the right side of scene 306.

FIG. 4 is a functional block diagram of an example interactive augmentedreality system 400 that includes a wearable device (e.g., an eyeweardevice 100), a mobile device 401, and a server system 498 connected viavarious networks 495 such as the Internet. The interactive augmentedreality system 400 includes a low-power wireless connection 425 and ahigh-speed wireless connection 437 between the eyewear device 100 andthe mobile device 401.

As shown in FIG. 4 , the eyewear device 100 includes one or morevisible-light cameras 114A, 114B that capture still images, videoimages, or both still and video images, as described herein. The cameras114A, 114B may have a direct memory access (DMA) to high-speed circuitry430 and function as a stereo camera. The cameras 114A, 114B may be usedto capture initial-depth images that may be rendered intothree-dimensional (3D) models that are texture-mapped images of a red,green, and blue (RGB) imaged scene. The device 100 may also include adepth sensor 213, which uses infrared signals to estimate the positionof objects relative to the device 100. The depth sensor in some examplesincludes one or more infrared emitter(s) 415 and infrared camera(s) 410.

The eyewear device 100 further includes two image displays of eachoptical assembly 180A, 180B (one associated with the left side 170A andone associated with the right side 170B). The eyewear device 100 alsoincludes an image display driver 442, an image processor 412, low-powercircuitry 420, and high-speed circuitry 430. The image displays of eachoptical assembly 180A, 180B are for presenting images, including stillimages, video images, or still and video images. The image displaydriver 442 is coupled to the image displays of each optical assembly180A, 180B in order to control the display of images.

The eyewear device 100 additionally includes one or more speakers 440(e.g., one associated with the left side of the eyewear device andanother associated with the right side of the eyewear device). Thespeakers 440 may be incorporated into the frame 105, temples 125, orcorners 110 of the eyewear device 100. The one or more speakers 440 aredriven by audio processor 443 under control of low-power circuitry 420,high-speed circuitry 430, or both. The speakers 440 are for presentingaudio signals including, for example, a beat track. The audio processor443 is coupled to the speakers 440 in order to control the presentationof sound.

The components shown in FIG. 4 for the eyewear device 100 are located onone or more circuit boards, for example a printed circuit board (PCB) orflexible printed circuit (FPC), located in the rims or temples.Alternatively, or additionally, the depicted components can be locatedin the corners, frames, hinges, or bridge of the eyewear device 100.Left and right visible-light cameras 114A, 114B can include digitalcamera elements such as a complementary metal-oxide-semiconductor (CMOS)image sensor, a charge-coupled device, a lens, or any other respectivevisible or light capturing elements that may be used to capture data,including still images or video of scenes with unknown objects.

As shown in FIG. 4 , high-speed circuitry 430 includes a high-speedprocessor 432, a memory 434, and high-speed wireless circuitry 436. Inthe example, the image display driver 442 is coupled to the high-speedcircuitry 430 and operated by the high-speed processor 432 in order todrive the left and right image displays of each optical assembly 180A,180B. High-speed processor 432 may be any processor capable of managinghigh-speed communications and operation of any general computing systemneeded for eyewear device 100. High-speed processor 432 includesprocessing resources needed for managing high-speed data transfers onhigh-speed wireless connection 437 to a wireless local area network(WLAN) using high-speed wireless circuitry 436.

In some examples, the high-speed processor 432 executes an operatingsystem such as a LINUX operating system or other such operating systemof the eyewear device 100 and the operating system is stored in memory434 for execution. In addition to any other responsibilities, thehigh-speed processor 432 executes a software architecture for theeyewear device 100 that is used to manage data transfers with high-speedwireless circuitry 436. In some examples, high-speed wireless circuitry436 is configured to implement Institute of Electrical and ElectronicEngineers (IEEE) 802.11 communication standards, also referred to hereinas Wi-Fi. In other examples, other high-speed communications standardsmay be implemented by high-speed wireless circuitry 436.

The low-power circuitry 420 includes a low-power processor 422 andlow-power wireless circuitry 424. The low-power wireless circuitry 424and the high-speed wireless circuitry 436 of the eyewear device 100 caninclude short-range transceivers (Bluetooth™ or Bluetooth Low-Energy(BLE)) and wireless wide, local, or wide-area network transceivers(e.g., cellular or Wi-Fi). Mobile device 401, including the transceiverscommunicating via the low-power wireless connection 425 and thehigh-speed wireless connection 437, may be implemented using details ofthe architecture of the eyewear device 100, as can other elements of thenetwork 495.

Memory 434 includes any storage device capable of storing various dataand applications, including, among other things, camera data generatedby the left and right visible-light cameras 114A, 114B, the infraredcamera(s) 410, the image processor 412, and images generated for displayby the image display driver 442 on the image display of each opticalassembly 180A, 180B. Although the memory 434 is shown as integrated withhigh-speed circuitry 430, the memory 434 in other examples may be anindependent, standalone element of the eyewear device 100. In certainsuch examples, electrical routing lines may provide a connection througha chip that includes the high-speed processor 432 from the imageprocessor 412 or low-power processor 422 to the memory 434. In otherexamples, the high-speed processor 432 may manage addressing of memory434 such that the low-power processor 422 will boot the high-speedprocessor 432 any time that a read or write operation involving memory434 is needed.

As shown in FIG. 4 , the high-speed processor 432 of the eyewear device100 can be coupled to the camera system (visible-light cameras 114A,114B), the image display driver 442, the user input device 491, and thememory 434. As shown in FIG. 5 , the CPU 540 of the mobile device 401may be coupled to a camera system 570, a mobile display driver 582, auser input layer 591, and a memory 540A.

The server system 498 may be one or more computing devices as part of aservice or network computing system, for example, that include aprocessor, a memory, and network communication interface to communicateover the network 495 with an eyewear device 100 and a mobile device 401.

The output components of the eyewear device 100 include visual elements,such as the left and right image displays associated with each lens oroptical assembly 180A, 180B as described in FIGS. 2A and 2B (e.g., adisplay such as a liquid crystal display (LCD), a plasma display panel(PDP), a light emitting diode (LED) display, a projector, or awaveguide). The eyewear device 100 may include a user-facing indicator(e.g., an LED, a loudspeaker, or a vibrating actuator), or anoutward-facing signal (e.g., an LED, a loudspeaker). The image displaysof each optical assembly 180A, 180B are driven by the image displaydriver 442. In some example configurations, the output components of theeyewear device 100 further include additional indicators such as audibleelements (e.g., loudspeakers), tactile components (e.g., an actuatorsuch as a vibratory motor to generate haptic feedback), and other signalgenerators. For example, the device 100 may include a user-facing set ofindicators, and an outward-facing set of signals. The user-facing set ofindicators are configured to be seen or otherwise sensed by the user ofthe device 100. For example, the device 100 may include an LED displaypositioned so the user can see it, a one or more speakers positioned togenerate a sound the user can hear, or an actuator to provide hapticfeedback the user can feel. The outward-facing set of signals areconfigured to be seen or otherwise sensed by an observer near the device100. Similarly, the device 100 may include an LED, a loudspeaker, or anactuator that is configured and positioned to be sensed by an observer.

The input components of the eyewear device 100 may include alphanumericinput components (e.g., a touch screen or touchpad configured to receivealphanumeric input, a photo-optical keyboard, or otheralphanumeric-configured elements), pointer-based input components (e.g.,a mouse, a touchpad, a trackball, a joystick, a motion sensor, or otherpointing instruments), tactile input components (e.g., a button switch,a touch screen or touchpad that senses the location, force or locationand force of touches or touch gestures, or other tactile-configuredelements), and audio input components (e.g., a microphone), and thelike. The mobile device 401 and the server system 498 may includealphanumeric, pointer-based, tactile, audio, and other input components.

In some examples, the eyewear device 100 includes a collection ofmotion-sensing components referred to as an inertial measurement unit472. The motion-sensing components may be micro-electro-mechanicalsystems (MEMS) with microscopic moving parts, often small enough to bepart of a microchip. The inertial measurement unit (IMU) 472 in someexample configurations includes an accelerometer, a gyroscope, and amagnetometer. The accelerometer senses the linear acceleration of thedevice 100 (including the acceleration due to gravity) relative to threeorthogonal axes (x, y, z). The gyroscope senses the angular velocity ofthe device 100 about three axes of rotation (pitch, roll, yaw).Together, the accelerometer and gyroscope can provide position,orientation, and motion data about the device relative to six axes (x,y, z, pitch, roll, yaw). The magnetometer, if present, senses theheading of the device 100 relative to magnetic north. The position ofthe device 100 may be determined by location sensors, such as a GPS unit473, one or more transceivers to generate relative position coordinates,altitude sensors or barometers, and other orientation sensors. Suchpositioning system coordinates can also be received over the wirelessconnections 425, 437 from the mobile device 401 via the low-powerwireless circuitry 424 or the high-speed wireless circuitry 436.

The IMU 472 may include or cooperate with a digital motion processor orprogramming that gathers the raw data from the components and compute anumber of useful values about the position, orientation, and motion ofthe device 100. For example, the acceleration data gathered from theaccelerometer can be integrated to obtain the velocity relative to eachaxis (x, y, z); and integrated again to obtain the position of thedevice 100 (in linear coordinates, x, y, and z). The angular velocitydata from the gyroscope can be integrated to obtain the position of thedevice 100 (in spherical coordinates). The programming for computingthese useful values may be stored in memory 434 and executed by thehigh-speed processor 432 of the eyewear device 100.

The eyewear device 100 may optionally include additional peripheralsensors, such as biometric sensors, specialty sensors, or displayelements integrated with eyewear device 100. For example, peripheraldevice elements may include any I/O components including outputcomponents, motion components, position components, or any other suchelements described herein. For example, the biometric sensors mayinclude components to detect expressions (e.g., hand expressions, facialexpressions, vocal expressions, body gestures, or eye tracking), tomeasure bio signals (e.g., blood pressure, heart rate, body temperature,perspiration, or brain waves), or to identify a person (e.g.,identification based on voice, retina, facial characteristics,fingerprints, or electrical bio signals such as electroencephalogramdata), and the like.

The mobile device 401 may be a smartphone, tablet, laptop computer,access point, or any other such device capable of connecting witheyewear device 100 using both a low-power wireless connection 425 and ahigh-speed wireless connection 437. Mobile device 401 is connected toserver system 498 and network 495. The network 495 may include anycombination of wired and wireless connections.

The interactive augmented reality system 400, as shown in FIG. 4 ,includes a computing device, such as mobile device 401, coupled to aneyewear device 100 over a network. The interactive augmented realitysystem 400 includes a memory for storing instructions and a processorfor executing the instructions. Execution of the instructions of theinteractive augmented reality system 400 by the processor 432 configuresthe eyewear device 100 to cooperate with the mobile device 401. Theinteractive augmented reality system 400 may utilize the memory 434 ofthe eyewear device 100 or the memory elements 540A, 540B, 540C of themobile device 401 (FIG. 5 ). Also, the interactive augmented realitysystem 400 may utilize the processor elements 432, 422 of the eyeweardevice 100 or the central processing unit (CPU) 540 of the mobile device401 (FIG. 5 ). In addition, the interactive augmented reality system 400may further utilize the memory and processor elements of the serversystem 498. In this aspect, the memory and processing functions of theinteractive augmented reality system 400 can be shared or distributedacross the eyewear device 100, the mobile device 401, and the serversystem 498.

The memory 434 includes song files 482 and virtual objects 484. The songfiles 482 includes a tempo (e.g., beat track) and, optionally, asequence of notes and note values. A note is a symbol denoting aparticular pitch or other musical sound. The note value includes theduration the note is played, relative to the tempo, and may includeother qualities such as loudness, emphasis, articulation, and phrasingrelative to other notes. The tempo, in some implementations, includes adefault value along with a user interface through which the user mayselect a particular tempo for use during playback of the song. Thevirtual objects 484 include image data for identifying objects orfeatures in images captured by the cameras 114. The objects may bephysical features such as known paintings or physical markers for use inlocalizing the eyewear device 100 within an environment.

The memory 434 additionally includes, for execution by the processor432, a position detection utility 460, a location registration utility462, a localization utility 464, an object recognition utility 465 forrecognizing objects, a virtual object rendering utility 466, a physicsengine 468, and a prediction engine 470. The position detection utility460 configures the processor 432 to determine the position (location andorientation) within an environment, e.g., using the localization utility464. The location registration utility 462 configures the processor 432to register the location of markers and other features (e.g., featurepoints) within the environment. The registered locations may be thelocations of predefined physical markers having a known location withinan environment or locations assigned by the processor 432 to aparticular location with respect to the environment within which theeyewear device 100 is operating or with respect to the eyewear itself.The localization utility 464 configures the processor 432 to obtainlocalization data for use in determining the position of the eyeweardevice 100, virtual objects presented by the eyewear device, or acombination thereof. The location data may be derived from a series ofimages, an IMU unit 472, a GPS unit 473, or a combination thereof. Thevirtual object rendering utility 466 configures the processor 432 torender virtual images for display by the image display 180 under controlof the image display driver 442 and the image processor 412. The physicsengine 468 configures the processor 432 to apply laws of physics such asgravity and friction to the virtual word, e.g., between virtual objects.The prediction engine 470 configures the processor 432 to predictanticipated movement of an object such as the eyewear device 100 basedon its current heading, input from sensors such as the IMU 472, imagesof the environment, or a combination thereof.

FIG. 5 is a high-level functional block diagram of an example mobiledevice 401. Mobile device 401 includes a flash memory 540A which storesprogramming to be executed by the CPU 540 to perform all or a subset ofthe functions described herein.

The mobile device 401 may include a camera 570 that comprises at leasttwo visible-light cameras (first and second visible-light cameras withoverlapping fields of view) or at least one visible-light camera and adepth sensor with substantially overlapping fields of view. Flash memory540A may further include multiple images or video, which are generatedvia the camera 570.

As shown, the mobile device 401 includes an image display 580, a mobiledisplay driver 582 to control the image display 580, and a displaycontroller 584. In the example of FIG. 5 , the image display 580includes a user input layer 591 (e.g., a touchscreen) that is layered ontop of or otherwise integrated into the screen used by the image display580.

Examples of touchscreen-type mobile devices that may be used include(but are not limited to) a smart phone, a personal digital assistant(PDA), a tablet computer, a laptop computer, or other portable device.However, the structure and operation of the touchscreen-type devices isprovided by way of example; the subject technology as described hereinis not intended to be limited thereto. For purposes of this discussion,FIG. 5 therefore provides a block diagram illustration of the examplemobile device 401 with a user interface that includes a touchscreeninput layer 591 for receiving input (by touch, multi-touch, or gesture,and the like, by hand, stylus or other tool) and an image display 580for displaying content.

As shown in FIG. 5 , the mobile device 401 includes at least one digitaltransceiver (XCVR) 510, shown as WWAN XCVRs, for digital wirelesscommunications via a wide-area wireless mobile communication network.The mobile device 401 also includes additional digital or analogtransceivers, such as short-range transceivers (XCVRs) 520 forshort-range network communication, such as via NFC, VLC, DECT, ZigBee,Bluetooth™, or Wi-Fi. For example, short range XCVRs 520 may take theform of any available two-way wireless local area network (WLAN)transceiver of a type that is compatible with one or more standardprotocols of communication implemented in wireless local area networks,such as one of the Wi-Fi standards under IEEE 802.11.

To generate location coordinates for positioning of the mobile device401, the mobile device 401 can include a global positioning system (GPS)receiver. Alternatively, or additionally the mobile device 401 canutilize either or both the short range XCVRs 520 and WWAN XCVRs 510 forgenerating location coordinates for positioning. For example, cellularnetwork, Wi-Fi, or Bluetooth™ based positioning systems can generatevery accurate location coordinates, particularly when used incombination. Such location coordinates can be transmitted to the eyeweardevice over one or more network connections via XCVRs 510, 520.

The transceivers 510, 520 (i.e., the network communication interface)conforms to one or more of the various digital wireless communicationstandards utilized by modern mobile networks. Examples of WWANtransceivers 510 include (but are not limited to) transceiversconfigured to operate in accordance with Code Division Multiple Access(CDMA) and 3rd Generation Partnership Project (3GPP) networktechnologies including, for example and without limitation, 3GPP type 2(or 3GPP2) and LTE, at times referred to as “4G.” For example, thetransceivers 510, 520 provide two-way wireless communication ofinformation including digitized audio signals, still image and videosignals, web page information for display as well as web-related inputs,and various types of mobile message communications to/from the mobiledevice 401.

The mobile device 401 further includes a microprocessor that functionsas a central processing unit (CPU); shown as CPU 540 in FIG. 5 . Aprocessor is a circuit having elements structured and arranged toperform one or more processing functions, typically various dataprocessing functions. Although discrete logic components could be used,the examples utilize components forming a programmable CPU. Amicroprocessor for example includes one or more integrated circuit (IC)chips incorporating the electronic elements to perform the functions ofthe CPU 540. The CPU 540, for example, may be based on any known oravailable microprocessor architecture, such as a Reduced Instruction SetComputing (RISC) using an ARM architecture, as commonly used today inmobile devices and other portable electronic devices. Of course, otherarrangements of processor circuitry may be used to form the CPU 540 orprocessor hardware in smartphone, laptop computer, and tablet.

The CPU 540 serves as a programmable host controller for the mobiledevice 401 by configuring the mobile device 401 to perform variousoperations, for example, in accordance with instructions or programmingexecutable by CPU 540. For example, such operations may include variousgeneral operations of the mobile device, as well as operations relatedto the programming for applications on the mobile device. Although aprocessor may be configured by use of hardwired logic, typicalprocessors in mobile devices are general processing circuits configuredby execution of programming.

The mobile device 401 includes a memory or storage system, for storingprogramming and data. In the example, the memory system may include aflash memory 540A, a random-access memory (RAM) 540B, and other memorycomponents 540C, as needed. The RAM 540B serves as short-term storagefor instructions and data being handled by the CPU 540, e.g., as aworking data processing memory. The flash memory 540A typically provideslonger-term storage.

Hence, in the example of mobile device 401, the flash memory 540A isused to store programming or instructions for execution by the CPU 540.Depending on the type of device, the mobile device 401 stores and runs amobile operating system through which specific applications areexecuted. Examples of mobile operating systems include Google Android,Apple iOS (for iPhone or iPad devices), Windows Mobile, Amazon Fire OS,RIM BlackBerry OS, or the like.

The processor 432 within the eyewear device 100 constructs a map of theenvironment surrounding the eyewear device 100, determines a location ofthe eyewear device within the mapped environment, and determines arelative position of the eyewear device to one or more objects in themapped environment. In one example, the processor 432 constructs the mapand determines location and position information using a simultaneouslocalization and mapping (SLAM) algorithm applied to data received fromone or more sensors. In the context of augmented reality, a SLAMalgorithm is used to construct and update a map of an environment, whilesimultaneously tracking and updating the location of a device (or auser) within the mapped environment. The mathematical solution can beapproximated using various statistical methods, such as particlefilters, Kalman filters, extended Kalman filters, and covarianceintersection.

Sensor data includes images received from one or both of the cameras114A, 114B, distance(s) received from a laser range finder, positioninformation received from a GPS unit 473, or a combination of two ormore of such sensor data, or from other sensors such as IMU 572providing data useful in determining positional information.

FIG. 6 depicts an example environment 600 along with elements that areuseful for natural feature tracking (NFT; e.g., a tracking applicationusing a SLAM algorithm). A user 602 of the eyewear device 100 is presentin an example physical environment 600 (which, in FIG. 6 , is aninterior room). The processor 432 of the eyewear device 100 determinesits position with respect to one or more objects 604 within theenvironment 600 using captured images, constructs a map of theenvironment 600 using a coordinate system (x, y, z) for the environment600, and determines its position within the coordinate system.Additionally, the processor 432 determines a head pose (roll, pitch, andyaw) of the eyewear device 100 within the environment by using two ormore location points (e.g., three location points 606 a, 606 b, and 606c) associated with a single object 604 a, or by using one or morelocation points 606 associated with two or more objects 604 a, 604 b,604 c. In one example, the processor 432 of the eyewear device 100positions a virtual object 608 (such as the key shown in FIG. 6 ) withinthe environment 600 for augmented reality viewing via image displays180.

FIG. 7 is a flow chart 700 depicting a method for implementing augmentedreality applications described herein on a wearable device (e.g., aneyewear device). Although the steps are described with reference to theeyewear device 100, as described herein, other implementations of thesteps described, for other types of devices, will be understood by oneof skill in the art from the description herein. Additionally, it iscontemplated that one or more of the steps shown in FIG. 7 , and inother figures, and described herein may be omitted, performedsimultaneously or in a series, performed in an order other thanillustrated and described, or performed in conjunction with additionalsteps.

At block 702, the eyewear device 100 captures one or more input imagesof a physical environment 600 near the eyewear device 100. The processor432 may continuously receive input images from the visible lightcamera(s) 114 and store those images in memory 434 for processing.Additionally, the eyewear device 100 may capture information from othersensors (e.g., location information from a GPS unit 473, orientationinformation from an IMU 472, or distance information from a laserdistance sensor).

At block 704, the eyewear device 100 compares objects in the capturedimages to objects stored in a library of images to identify a match. Insome implementations, the processor 432 stores the captured images inmemory 434. A library of images of known objects is stored in a virtualobject database 484.

In one example, the processor 432 is programmed to identify a predefinedparticular object (e.g., a particular picture 604 a hanging in a knownlocation on a wall, a window 604 b in another wall, or an object such asa safe 604 c positioned on the floor). Other sensor data, such as GPSdata, may be used to narrow down the number of known objects for use inthe comparison (e.g., only images associated with a room identifiedthrough GPS coordinates). In another example, the processor 432 isprogrammed to identify predefined general objects (such as one or moretrees within a park).

At block 706, the eyewear device 100 determines its position withrespect to the object(s). The processor 432 may determine its positionwith respect to the objects by comparing and processing distancesbetween two or more points in the captured images (e.g., between two ormore location points on one objects 604 or between a location point 606on each of two objects 604) to known distances between correspondingpoints in the identified objects. Distances between the points of thecaptured images greater than the points of the identified objectsindicates the eyewear device 100 is closer to the identified object thanthe imager that captured the image including the identified object. Onthe other hand, distances between the points of the captured images lessthan the points of the identified objects indicates the eyewear device100 is further from the identified object than the imager that capturedthe image including the identified object. By processing the relativedistances, the processor 432 is able to determine the position withrespect to the objects(s). Alternatively, or additionally, other sensorinformation, such as laser distance sensor information, may be used todetermine position with respect to the object(s).

At block 708, the eyewear device 100 constructs a map of an environment600 surrounding the eyewear device 100 and determines its locationwithin the environment. In one example, where the identified object(block 704) has a predefined coordinate system (x, y, z), the processor432 of the eyewear device 100 constructs the map using that predefinedcoordinate system and determines its position within that coordinatesystem based on the determined positions (block 706) with respect to theidentified objects. In another example, the eyewear device constructs amap using images of permanent or semi-permanent objects 604 within anenvironment (e.g., a tree or a park bench within a park). In accordancewith this example, the eyewear device 100 may define the coordinatesystem (x′, y′, z′) used for the environment.

At block 710, the eyewear device 100 determines a head pose (roll,pitch, and yaw) of the eyewear device 100 within the environment. Theprocessor 432 determines head pose by using two or more location points(e.g., three location points 606 a, 606 b, and 606 c) on one or moreobjects 604 or by using one or more location points 606 on two or moreobjects 604. Using conventional image processing algorithms, theprocessor 432 determines roll, pitch, and yaw by comparing the angle andlength of a lines extending between the location points for the capturedimages and the known images.

At block 712, the eyewear device 100 presents visual images to the user.The processor 432 presents images to the user on the image displays 180using the image processor 412 and the image display driver 442. Theprocessor develops and presents the visual images via the image displaysresponsive to the location of the eyewear device 100 within theenvironment 600.

At block 714, the steps described above with reference to blocks 706-712are repeated to update the position of the eyewear device 100 and whatis viewed by the user 602 as the user moves through the environment 600.

Referring again to FIG. 6 , the method of implementing augmented realityvirtual environment enhancement applications described herein, in thisexample, includes registered locations for virtual markers (e.g., marker610 a) associated with physical objects (e.g., painting 604 a) andregistered locations associated with virtual objects (e.g., key 608). Inone example, an eyewear device 100 uses the registered locationsassociated with physical objects to determine the position of theeyewear device 100 within an environment and uses the registeredlocations associated with virtual objects to generate overlay imagespresenting the associated virtual object(s) 608 in the environment 600at the registered locations on the display of the eyewear device 100.For example, locations are registered in the environment for use intracking and updating the location of users, devices, and objects(virtual and physical) in a mapped environment. Locations are sometimesregistered to a high-contrast physical object, such as the relativelydark object 604 a mounted on a lighter-colored wall, to assist camerasand other sensors with the task of detecting the location. Theregistered locations may be preassigned (i.e., pre-registered) or may beregistered by the eyewear device 100 upon entering the environment.Locations are also registered at locations in the environment for use inpresenting virtual images at those locations in the mapped environment.Markers can be encoded with or otherwise linked to information. In oneexample, a marker includes position information, a physical code (suchas a bar code or a QR code; either visible to the user or hidden), or acombination thereof. A set of data associated with the marker is storedin the memory 434 of the eyewear device 100. The set of data includesinformation about the marker 610 a, the marker's position (location andorientation), one or more virtual objects, or a combination thereof. Themarker position may include three-dimensional coordinates for one ormore marker landmarks 616 a, such as the corner of the generallyrectangular marker 610 a shown in FIG. 6 . The marker location may beexpressed relative to real-world geographic coordinates, a system ofmarker coordinates, a position of the eyewear device 100, or othercoordinate system. The one or more virtual objects associated with themarker 610 a may include any of a variety of material, including stillimages, video, audio, tactile feedback, executable applications,interactive user interfaces and experiences, and combinations orsequences of such material. Any type of content capable of being storedin a memory and retrieved when the marker 610 a is encountered orassociated with an assigned marker may be classified as a virtual objectin this context. The key 608 shown in FIG. 6 , for example, is a virtualobject displayed as a still image, either 2D or 3D, at a markerlocation.

In one example, the marker 610 a may be registered in memory as beinglocated near and associated with a physical object 604 a (e.g., theframed work of art shown in FIG. 6 ). In another example, the marker maybe registered in memory as being a particular position with respect tothe eyewear device 100.

Registered locations are also linked to information. In one example, aregistered location includes position information and other informationassociated with a marker. The information for the registered locationsis a set of data associated with the registered location that is storedin the memory 434 of the eyewear device 100, e.g, in a look-up table.The set of data includes information such as location (e.g., representedin three-dimensional coordinates), orientation, attributes, or acombination thereof. The registered location may be expressed relativeto real-world geographic coordinates, a system of marker coordinates, aposition of the eyewear device 100, or other coordinate system.

FIGS. 8A-8F are flow charts 800, 820, 830, 840, 850, and 870 listingsteps in an example method of an augmented reality environmentenhancement experience. Although the steps are described with referenceto the eyewear device 100, as described herein, other implementations ofthe steps described, for other types of wearable mobile devices, will beunderstood by one of skill in the art from the description herein.Additionally, it is contemplated that one or more of the steps shown inFIGS. 8A-F, and described herein, may be omitted, performedsimultaneously or in a series, performed in an order other thanillustrated and described, or performed in conjunction with additionalsteps.

In FIG. 8A, at block 802, the processor 432 captures images of theenvironment. In an example, the images are sequences of frames of videodata captured by a camera 114A, 114B that is coupled to or part of aneyewear device 100. The camera 114A, 114B, in some implementations,includes one or more high-resolution, digital cameras equipped with aCMOS image sensor capable of capturing high-definition still images andhigh-definition video. Each frame of digital video includes depthinformation for a plurality of pixels in the image. In this aspect, thecamera 114A, 114B serves as a high-definition scanner by capturing adetailed input image of the environment. The camera 114A, 114B, in someimplementations, includes a pair of high-resolution digital cameras114A, 114B coupled to the eyewear device 100 and spaced apart to acquirea left-camera raw image and a right-camera raw image. When combined, theraw images form an input image point cloud that includes a matrix ofthree-dimensional pixel locations. The method, at step 802, in someimplementations, includes storing the captured sequences of frames ofvideo data in memory 434 on the eyewear device 100, at leasttemporarily, such that the frames are available for analysis.

At block 804, the processor 432 monitors the position (e.g., locationand orientation) of the eyewear device 100 with respect to other objectsin the environment. In an example, the processor 432 uses the sequenceof frames of video data to localize the position of the eyewear device100 within the environment by applying a SLAM algorithm or othercomputer vision algorithm.

Additionally, the processor 432 determines the field of view of theeyewear device 100. The eyewear device 100 field of view is a view seenthrough the optical elements (assuming see-through displays). Field ofview can be determined based on an angular value associated with theoptical assembly (e.g., a cone of 110 degrees surrounding the directiona central axis of the optical assembly is pointing). In an example,where a tablet is a mobile device, the field of view is the image viewedon a screen that is substantially simultaneously being captured by avisible light camera of the tablet.

The eyewear device 100 determines and monitors its location andorientation in three-dimensional space (e.g., two axes X and Y or threeaxes X, Y, and Z) and rotation about one or more axes (e.g., pitch, yaw,roll). The eyewear device 100 can use a SLAM algorithm, other computervision (CV) algorithms, various sensors (e.g., the IMU 472 to determineorientation), or a combination thereof to determine and monitor locationand orientation of the eyewear device 100.

At block 806, the processor 432 identifies feature points with theframes of video data. In an example, the processor 432 identifiesfeature points using a SLAM algorithm or other computer visionalgorithms. The feature points are distinguishable points within thevideo data that are present within a sequence of adjacent frames ofvideo data (e.g., three or more adjacent frames), which the SLAMalgorithm uses for location tracking within an environment. In oneexample, the distinguishable points include points of high contrast,geometric features (e.g., straight edges), known objects (see book 902in FIG. 9A and cup 936 in FIG. 9E) or a combination thereof.

FIG. 8B depicts a flow chart 820 including example steps for identifyingfeature points. At block 822, the processor 432 detects potentialfeature points in the frames of video data, e.g., points with highcontrast, associated with geometric features, or associated with knownobjects. At block 824, the processor 432 identifies common potentialfeature points that are present in a plurality of adjacent frames (e.g.,the same potential feature points in three or more adjacent frames). Atblock 826, the processor 432 designates the identified common potentialfeature points as feature points for enhancement with enhancementgraphics.

Referring back to FIG. 8A, at block 808, processor 432 registersenvironment enhancement locations at the identified feature points. Theprocessor 432, using the location registration utility 462, selects andregisters the locations of the identified feature points with respect tothe environment surrounding the eyewear device 100. Locationregistration includes storing the locations in memory, e.g., the memory434. In one example, the registered locations include a set ofthree-dimensional coordinates based on or correlated with depthinformation obtained from a digital image or a frame of digital video.In another example, the registered locations include a set ofthree-dimensional coordinates based on or correlated with GPSinformation or other positional information obtained by the processor432.

The registered locations, in some implementations, coincides with anorigin point (0, 0, 0) for a location coordinate system. The locationcoordinate system may be used as a reference for the registeredlocations. In one example, the origin point corresponds to theenvironment and all registered locations are defined with respect to theenvironment.

At block 810, the processor 432 generates an overlay image includingenvironment enhancement graphics for display at the registered locationsof the feature points. The processor 432 can generate the overlay imageusing a display system executing the rendering utility 466 andcomprising the image processor 412, the image display driver 442, andthe image display 180. The environment enhancement graphic includesmultiple attributes (e.g., shape, size, color). The attributes may bestored in the registered location look-up table or another table. In oneexample, the processor 432 generates the overlay image responsive to theposition of the eyewear device 100 relative to registered locations,e.g., by adjusting an attribute such as size based on the distance suchthat the apparent size of the marker increases as the eyewear device 100approaches the marker.

At block 812, the processor 432 presents the overlay image. The imageprocessor 412 presents the overlay image including the environmentenhancement graphics on the image display 180A-B using the image displaydriver 442 such that the environment enhancement graphics appear at theregistered locations. For example, using the location and orientationresults obtained from localization using the captured frames of videodata (step 802) and the virtual object rendering utility 466, theeyewear device 100 executes the step 812 of presenting the overlay imagewith environment enhancement graphics on the display in a size, shape,and orientation that is correlated with the registered location. Theenvironment enhancement graphics are presented on the lenses of theeyewear device 100, facilitating a view of both the environmentenhancement graphics and the physical environment. For example, theright lens (right optical assembly 180B) includes a right display matrix(not shown) configured to interact with light from a right projector150B positioned to project images onto the interior surface of the lens180B. In this aspect, the environment enhancement graphics are presentedas part of an overlay relative to the physical environment, such thatthe environment enhancement graphics are persistently viewable. FIG. 9Bdepicts an example eyewear device 100 with an overlay image includingthree environment enhancement graphics (first flower 912 a, secondflower 912 b, and third flower 912 c) positioned at registered locationsof feature points within an environment 904.

In FIG. 8C, flow chart 830 depicts an example of steps for changing theappearance of an environment enhancement graphic based on distance. Atblock 832, processor 432 determines a distance between the registeredlocation associated with an environment enhancement graphic and theeyewear device 100. For example, the processor 432 calculates thedifference between the registered location of the environmentenhancement graphics and the current position of the eyewear device 100and uses the absolute value of the difference. At block 834, the imageprocessor 412, under control of the processor 432, adjusts visualattribute(s) of the environment enhancement graphic responsive to thedetermined distance. For example, the image processor 412 may increasethe size of the environment enhancement graphics as the distancedecreases and decrease the size of the environment enhancement graphicas the distance increases. FIG. 9C depicts an environment enhancementgraphic 916 a having a first size and another environment enhancementgraphic 918 having a second, smaller size. Other attributes (such ascolor) may also be adjusted based on distance. At block 836, theprocessor 432 generates the overlay image including the adjustedenvironment enhancement graphic. The overlay image may be generated asdescribed above with reference to block 812.

In FIG. 8D, flow chart 840 depicts an example for adjusting anenvironment enhancement graphic responsive to overlapping feature pointsin the environment. At block 842, processor 432 analyzes positions ofregistered locations for feature points and the shape of the environmentenhancement graphics to be positions at those locations. At block 844,processor 432 identifies a plurality of environment enhancement graphicsthat would overlap if displayed at the positions of the registeredlocations. At block 846, processor 432 replaces the plurality ofenvironment enhancement graphics that would overlap as identified atblock 844 with another environment enhancement graphic(s). In oneexample, the processor 432 replaces the plurality of environmentenhancement graphics with a single, larger environment enhancementgraphic (e.g., substitute several overlapping smaller flowers with asingle, larger flower). In another example, the processor 432 replacesthe plurality of environment enhancement graphics with a plurality ofsmaller environment enhancement graphics that will not overlap whenpresented (e.g., substitute several overlapping flowers with smaller,non-overlapping flowers).

At block 848, the processor 432 generates the overlay image includingthe replacement environment enhancement graphic(s). The overlay imagemay be generated as described above with reference to block 812. Theprocessor 432 positions the replacement environment enhancementgraphic(s) at a registered location for the feature points. In oneexample, where the processor 432 replaces the plurality of environmentenhancement graphics with a single, larger environment enhancementgraphic, the processor 432 averages the registered locations of theplurality of environment enhancement locations and positions thereplacement graphic at the averaged location. In another example, wherethe processor 432 replaces the plurality of environment enhancementgraphics with smaller environment enhancement graphic, the processor 432positions the replacement graphics at the original registered locations.

In FIG. 8E, flow chart 840 depicts an example for selecting environmentenhancement graphics responsive to objects identified in theenvironment. At block 852, processor 432 analyzes positions ofenvironment enhancement locations. At block 854, processor 432identifies objects located at the environment enhancement locations.Processor 432 can identify objects by applying the object recognitionutility 465 (e.g., implementing a CV algorithm) to the images capturedby the camera (block 802).

At block 856, processor 432 compares the identified objects toenvironment enhancement objects, where each environment enhancementobject is associated with an environment enhancement graphic. Forexample, a first environment enhancement object may be a flowerpot and asecond environment enhancement object may be a coffee cup. The flowerpotmay be associated with an environment enhancement graphic of a flower.The coffee cup may be associated with an environment enhancement graphicof a few coffee beans.

At block 858, processor 432 selects the environment enhancement graphicassociated with the environment enhancement object matching theidentified object. At block 860, the processor 432 generates the overlayimage including the selected environment enhancement graphic. Theoverlay image may be generated as described above with reference toblock 812.

In FIG. 8F, flow chart 870 depicts an example for adjusting an audiotrack responsive to the number of feature points currently within theenvironment. At block 872, processor 432 presents an audio track. In oneexample, processor 432 retrieves an audio track from song files 482stored in memory 434 and presents the retrieved audio track via audioprocessor 442 and speaker(s) 440.

At block 874, processor 432 monitors the number of feature points. Atblock 876, processor 432 compares the current number of feature pointsto the number of feature points in a preceding overlay image. If thenumber of current feature points is greater, processing proceeds atblock 878 and the volume of the audio track is increased. If the numberof current feature points is less than or equal to the number of featurepoints in a preceding overlay image, processing proceeds at block 880.

At block 880, processor 432 again compares the current number of featurepoints to the number of feature points in a preceding overlay image. Ifthe number of current feature points is less, processing proceeds atblock 882, the volume of the audio track is decreased, and processing isrepeated at 884 by returning to block 874 for continued monitoring. Ifthe number of current feature points is equal to the number of featurepoints in a preceding overlay image, processing returns to block 874without adjusting the volume level.

FIGS. 9A-F illustrate an enhanced augmented reality experience in whicha user of an eyewear device 100 is presented with environmentenhancement graphics at registered locations of identified featurepoints. FIG. 9A depicts an environment 906 prior to enhancement viewedthrough a display 180 of the eyewear 100. The environment includes abook 902 on a stand 904, a table 908, and a wall 910.

FIG. 9B depicts an overlay image presented on the display 180 of theeyewear 100 at a different location within the environment 906. Theoverlay image includes three environment enhancement graphics (flowers912 a, 912 b, and 912 c) positioned on a surface 914 of the book 902 atregister locations of identified feature points. FIG. 9C depicts anoverlay image presented on the display 180 of the eyewear 100 at anotherlocation within the environment 906. The overlay image includes threeenvironment enhancement graphics (flowers 916 a, 916 b, and 916 c)positioned on a box 918 at registered locations of identified featurepoints. The overlay image additionally includes a smaller environmentenhancement graphic (flower 919) position at a registered locationfurther away from the eyewear 100 the registered locations for flowers916.

FIG. 9D depicts an overlay image presented on the display 180 of theeyewear 100 at a different location within the environment 906. Theoverlay image includes a cluster of four environment enhancementgraphics (flowers 920 a, 920 b, 920 c and 920 d) positioned on the floor922 at register locations of identified feature points. Additionally,environment enhancement graphics are positioned on the chair 924, thestep stool 926, and the table 928 at feature points identified nearthose objects.

FIG. 9E depicts an overlay image at a different location within theenvironment 906. At this location, the eyewear is closer to the table928 and the eyewear identifies more feature points (e.g., associatedwith plate 932, corner of laptop 934, coffee cup 936, stool 926, andtable 928), with each feature point registered and receiving anenvironment enhancement graphic (flowers 930 a-j).

FIG. 9F depicts the overlay image of FIG. 9D with overlappingenvironment enhancement graphics replaced with another environmentenhancement graphics. In particular, flowers 920 a-d in FIG. 9D arereplaced by larger flower 938 a and flowers in the distance are replacedby larger flower 938 b.

Any of the functionality described herein for the eyewear device 100,the mobile device 401, and the server system 498 can be embodied in oneor more computer software applications or sets of programminginstructions, as described herein. According to some examples,“function,” “functions,” “application,” “applications,” “instruction,”“instructions,” or “programming” are program(s) that execute functionsdefined in the programs. Various programming languages can be employedto develop one or more of the applications, structured in a variety ofmanners, such as object-oriented programming languages (e.g.,Objective-C, Java, or C++) or procedural programming languages (e.g., Cor assembly language). In a specific example, a third-party application(e.g., an application developed using the ANDROID™ or IOS™ softwaredevelopment kit (SDK) by an entity other than the vendor of theparticular platform) may include mobile software running on a mobileoperating system such as IOS™, ANDROID™, WINDOWS® Phone, or anothermobile operating systems. In this example, the third-party applicationcan invoke API calls provided by the operating system to facilitatefunctionality described herein.

Hence, a machine-readable medium may take many forms of tangible storagemedium. Non-volatile storage media include, for example, optical ormagnetic disks, such as any of the storage devices in any computerdevices or the like, such as may be used to implement the client device,media gateway, transcoder, etc. shown in the drawings. Volatile storagemedia include dynamic memory, such as main memory of such a computerplatform. Tangible transmission media include coaxial cables; copperwire and fiber optics, including the wires that comprise a bus within acomputer system. Carrier-wave transmission media may take the form ofelectric or electromagnetic signals, or acoustic or light waves such asthose generated during radio frequency (RF) and infrared (IR) datacommunications. Common forms of computer-readable media thereforeinclude for example: a floppy disk, a flexible disk, hard disk, magnetictape, any other magnetic medium, a CD-ROM, DVD or DVD-ROM, any otheroptical medium, punch cards paper tape, any other physical storagemedium with patterns of holes, a RAM, a PROM and EPROM, a FLASH-EPROM,any other memory chip or cartridge, a carrier wave transporting data orinstructions, cables or links transporting such a carrier wave, or anyother medium from which a computer may read programming code or data.Many of these forms of computer readable media may be involved incarrying one or more sequences of one or more instructions to aprocessor for execution.

Except as stated immediately above, nothing that has been stated orillustrated is intended or should be interpreted to cause a dedicationof any component, step, feature, object, benefit, advantage, orequivalent to the public, regardless of whether it is or is not recitedin the claims.

It will be understood that the terms and expressions used herein havethe ordinary meaning as is accorded to such terms and expressions withrespect to their corresponding respective areas of inquiry and studyexcept where specific meanings have otherwise been set forth herein.Relational terms such as first and second and the like may be usedsolely to distinguish one entity or action from another withoutnecessarily requiring or implying any actual such relationship or orderbetween such entities or actions. The terms “comprises,” “comprising,”“includes,” “including,” or any other variation thereof, are intended tocover a non-exclusive inclusion, such that a process, method, article,or apparatus that comprises or includes a list of elements or steps doesnot include only those elements or steps but may include other elementsor steps not expressly listed or inherent to such process, method,article, or apparatus. An element preceded by “a” or “an” does not,without further constraints, preclude the existence of additionalidentical elements in the process, method, article, or apparatus thatcomprises the element.

Unless otherwise stated, any and all measurements, values, ratings,positions, magnitudes, sizes, and other specifications that are setforth in this specification, including in the claims that follow, areapproximate, not exact. Such amounts are intended to have a reasonablerange that is consistent with the functions to which they relate andwith what is customary in the art to which they pertain. For example,unless expressly stated otherwise, a parameter value or the like mayvary by as much as plus or minus ten percent from the stated amount orrange.

In addition, in the foregoing Detailed Description, it can be seen thatvarious features are grouped together in various examples for thepurpose of streamlining the disclosure. This method of disclosure is notto be interpreted as reflecting an intention that the claimed examplesrequire more features than are expressly recited in each claim. Rather,as the following claims reflect, the subject matter to be protected liesin less than all features of any single disclosed example. Thus, thefollowing claims are hereby incorporated into the Detailed Description,with each claim standing on its own as a separately claimed subjectmatter.

While the foregoing has described what are considered to be the bestmode and other examples, it is understood that various modifications maybe made therein and that the subject matter disclosed herein may beimplemented in various forms and examples, and that they may be appliedin numerous applications, only some of which have been described herein.It is intended by the following claims to claim any and allmodifications and variations that fall within the true scope of thepresent concepts.

What is claimed is:
 1. An electronic eyewear device that providesaugmented reality environment enhancement, comprising: an image capturesystem; a position detection system; an audio system; a processor; amemory; and programming in the memory, wherein execution of theprogramming by the processor configures the eyewear device to performfunctions, including functions to: capture, with the image capturesystem, frames of image data in an environment; monitor, with theposition detection system, a current location and orientation of theeyewear device within the environment with respect to objects in theenvironment as the eyewear device moves within the environmentcontaining the objects; identify feature points within the frames ofimage data; present, by the audio system, an audio track; and adjust avolume of the audio track responsive to the identified feature points.2. The device of claim 1, wherein the function to identify featurepoints includes functions to: detect potential feature points in theframes of image data; identify common potential feature points in theframes of image data that are in a plurality of adjacent frames; anddesignate the common potential feature points as feature points.
 3. Thedevice of claim 1, further comprising a display system, wherein theprocessor executes the programming to further configure the eyeweardevice to additional perform functions, including functions to:register, with the position detection system, environment enhancementlocations at the identified feature points; generate, with the displaysystem responsive to the current location and orientation of the eyeweardevice relative to at least one registered environment enhancementlocation, an overlay image responsive to the position of the eyeweardevice relative to registered environment enhancement locations, theoverlay image including environment enhancement graphics that areadjusted for display at the environment enhancement locations as theeyewear is moved relative to the registered environment enhancementlocations; and present, by the display system, the overlay image.
 4. Thedevice of claim 3, wherein the processor executes the programming tocompare a number of feature points in a current overlay image to anumber of feature points in a preceding overlay image and to increase avolume of the audio track when the number of feature points in thecurrent overlay image is greater than the number of features points inthe preceding overlay image.
 5. The device of claim 3, wherein theprocessor executes the programming to compare a number of feature pointsin a current overlay image to a number of feature points in a precedingoverlay image and to decrease a volume of the audio track when thenumber of feature points in the current overlay image is less than thenumber of features points in the preceding overlay image.
 6. The deviceof claim 3, wherein the function to generate an overlay image includesfunctions to: analyze positions of the environment enhancement locationsand respective shapes of the environment enhancement graphics; identifya plurality of environment enhancement graphics that would overlap ifdisplayed at positions of the registered environment enhancementlocations; replace the plurality of environment enhancement graphicsthat would overlap with a larger enhancement graphic for use ingenerating the overlay image; and generate the overlay image includingthe larger enhancement graphic positioned adjacent positions of theenvironment enhancement locations.
 7. The device of claim 3, wherein thefunction to generate an overlay image includes functions to: analyzepositions of the environment enhancement locations; identify objectslocated at the environment enhancement locations; compare an identifiedobject to environment enhancement objects, each environment enhancementobject associated with an environment enhancement graphic; select theenvironment enhancement graphic associated with the environmentenhancement object matching the identified object; and generate theoverlay image including selected environment enhancement graphicspositioned at environment enhancement locations.
 8. The device of claim3, wherein at least one of the environment enhancement locations is adynamic image including a plurality of images, each image having adifferent orientation, and wherein the function to generate the overlayimage includes functions to: monitor a counter; and generate, with thedisplay system responsive to the counter and the current location andorientation of the eyewear device, successive overlay images from theplurality of images, the at least one environment enhancement locationhaving a different orientation in adjacent images of the successiveoverlay images.
 9. The device of claim 3, wherein the environmentenhancement graphics have a plurality of visual attributes and whereinthe function to generate the overlay image includes functions to:determine a distance between the environment enhancement locations andthe current position of the eyewear device; adjust at least one of theplurality of visual attributes responsive to the determined distance;and generate, with the display system responsive to the current positionof the eyewear device, the overlay image including the environmentenhancement graphics as adjusted responsive to the determined distance.10. An augmented reality environment enhancement method for guiding auser through an environment using an eyewear device having an imagecapture system, a position detection system, and an audio system, themethod comprising: capturing, with the image capture system, frames ofimage data in the environment; monitoring, with the position detectionsystem, a current location and orientation of the eyewear device withinthe environment with respect to objects in the environment as theeyewear device moves within the environment containing the objects;identifying feature points within the frames of image data; presenting,by the audio system, an audio track; and adjusting a volume of the audiotrack responsive to the identified feature points.
 11. The method ofclaim 10, wherein the identifying comprises: detecting potential featurepoints in the frames of image data; identifying common potential featurepoints in the frames of image data that are in a plurality of adjacentframes; and designating the common potential feature points as featurepoints.
 12. The method of claim 10, wherein the eyewear device furthercomprises a display system, the method further comprising: registering,with the position detection system, environment enhancement locations atthe identified feature points; generating, with the display systemresponsive to the current location and orientation of the eyewear devicerelative to at least one registered environment enhancement location, anoverlay image responsive to the position of the eyewear device relativeto registered environment enhancement locations, the overlay imageincluding environment enhancement graphics that are adjusted for displayat the environment enhancement locations as the eyewear is movedrelative to the registered environment enhancement locations; andpresenting, by the display system, the overlay image.
 13. The method ofclaim 12, further comprising comparing a number of feature points in acurrent overlay image to a number of feature points in a precedingoverlay image and increasing a volume of the audio track when the numberof feature points in the current overlay image is greater than thenumber of features points in the preceding overlay image.
 14. The methodof claim 12, further comprising comparing a number of feature points ina current overlay image to a number of feature points in a precedingoverlay image and decreasing a volume of the audio track when the numberof feature points in the current overlay image is less than the numberof features points in the preceding overlay image.
 15. The method ofclaim 12, wherein the generating comprises: analyzing positions of theenvironment enhancement locations and respective shapes of theenvironment enhancement graphics; identifying a plurality of environmentenhancement graphics that would overlap if displayed at positions of theregistered environment enhancement locations; replacing the plurality ofenvironment enhancement graphics that would overlap with a largerenhancement graphic for use in generating the overlay image; andgenerating the overlay image including the larger enhancement graphicpositioned adjacent positions of the environment enhancement locations.16. The method of claim 12, wherein the generating comprises: analyzingpositions of the environment enhancement locations; identifying objectslocated at the environment enhancement locations; comparing anidentified object to environment enhancement objects, each environmentenhancement object associated with an environment enhancement graphic;selecting the environment enhancement graphic associated with theenvironment enhancement object matching the identified object; andgenerating the overlay image including selected environment enhancementgraphics positioned at environment enhancement locations.
 17. The methodof claim 12, wherein at least one of the environment enhancementlocations is a dynamic image including a plurality of images, each imagehaving a different orientation, and wherein generating the overlay imageincludes: monitoring a counter; and generating, with the display systemresponsive to the counter and the current location and orientation ofthe eyewear device, successive overlay images from the plurality ofimages, the at least one environment enhancement location having adifferent orientation in adjacent images of the successive overlayimages.
 18. The method of claim 12, wherein the environment enhancementgraphics have a plurality of visual attributes and wherein thegenerating the overlay image includes: determining a distance betweenthe environment enhancement locations and the current position of theeyewear device; adjusting at least one of the plurality of visualattributes responsive to the determined distance; and generating, withthe display system responsive to the current position of the eyeweardevice, the overlay image including the environment enhancement graphicsas adjusted responsive to the determined distance.
 19. A non-transitorycomputer-readable medium storing program code for guiding a user throughan environment when executed by an eyewear device having an imagingsystem, a position detection system, and an audio system, and a displaysystem, the program code, when executed, is operative to cause anelectronic processor to perform the steps of: capturing, with the imagecapture system, frames of image data in the environment; monitoring,with the position detection system, a current location and orientationof the eyewear device within the environment with respect to objects inthe environment as the eyewear device moves within the environmentcontaining the objects; identifying feature points within the frames ofimage data; presenting, by the audio system, an audio track; andadjusting a volume of the audio track responsive to the identifiedfeature points.
 20. The non-transitory computer-readable medium storingthe program code of claim 19, wherein the program code, when executed,is operative to cause the electronic processor to perform the steps of:generating, with the display system responsive to the current locationand orientation of the eyewear device relative to at least oneenvironment enhancement location at the identified feature points, anoverlay image responsive to the position of the eyewear device relativeto the at least one environment enhancement location, the overlay imageincluding environment enhancement graphics that are adjusted for displayat the at least one environment enhancement location as the eyewear ismoved relative to the at least one environment enhancement location;comparing a number of feature points in a current overlay image to anumber of feature points in a preceding overlay image; and increasing avolume of the audio track when the number of feature points in thecurrent overlay image is greater than the number of features points inthe preceding overlay image or decreasing a volume of the audio trackwhen the number of feature points in the current overlay image is lessthan the number of features points in the preceding overlay image.